scala spark机器学习代考成功案例 高难度 完美完成
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INF 553 – Spring 2018 Assignment 4 Community Detection Deadline: 04/09 2018 11:59 PM PST Assignment Overview In this assignment you are asked to implement the Girvan-Newman algorithm using the Spark Framework in order to detect communities in the graph. You will use only video_small_num.csv dataset in order to find users who have the similar
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INF 553 – Spring 2018 Assignment 5 Streaming Data Deadline: 04/23 2018 11:59 PM PST Assignment Overview In this assignment we’re going to implement some streaming algorithms. One is some analysis of Twitter stream. The other runs on a simulated data stream. Environment Requirements Python: 2.7 Scala: 2.11 Spark: 2.2.1 IMPORTANT: We will use these
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COMP9313 2017s2 Project 4 Set Similarity Join Using Spark on AWS Problem Definition: Given two collections of records R and S, a similarity function sim(., .), and a threshold τ, the set similarity join between R and S, is to find all record pairs r (from R) and s (from S), such that sim(r, s)
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INF 553 – Spring 2018 Assignment 5 Streaming Data Deadline: 04/23 2018 11:59 PM PST Assignment Overview In this assignment we’re going to implement some streaming algorithms. One is some analysis of Twitter stream. The other runs on a simulated data stream. Environment Requirements Python: 2.7 Scala: 2.11 Spark: 2.2.1 IMPORTANT: We will use these
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INF 553 – Spring 2018 Assignment 4 Community Detection Deadline: 04/09 2018 11:59 PM PST Assignment Overview In this assignment you are asked to implement the Girvan-Newman algorithm using the Spark Framework in order to detect communities in the graph. You will use only video_small_num.csv dataset in order to find users who have the similar
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INF 553 – Spring 2018 Assignment 2: Frequent Itemsets Deadline: 02/26 2018 11:59 PM PST Assignment Overview This assignment contains one main algorithm. You will implement the SON algorithm using the Apache Spark Framework. You will use three different datasets, ranging from very small to very large. This will help you to test, develop and
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INF 553 – Spring 2018 Assignment 3 LSH & Recommendation System Deadline: 03/25 2017 11:59 PM PST Assignment Overview This assignment contains two parts. First, you will implement an LSH algorithm, using both Cosine and Jaccard similarity measurement, to find similar products. Second, you will implement a collaborative-filtering recommendation system. The datasets you are going
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INF 553 – Assignment 2: Frequent Itemsets This assignment contains one main algorithm. You will implement the SON algorithm using the Apache Spark Framework. You will use three different datasets, ranging from very small to very large. This will help you to test, develop and optimize your algorithm given the number of records at hand.
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ASK 2 DESCRIPTION Search advertising has been one of the major revenue sources of the Internet industry for years. A key technology behind search advertising is to predict the click-through rate (pCTR) of ads, as the economic model behind search advertising requires pCTR values to rank ads and to price clicks. In this task, given